Greedy LeetCode Questions Asked in Microsoft Interviews
Greedy algorithms play a crucial role in Microsoft software engineering interviews. These problems focus on making the optimal choice at each step to achieve the best overall solution.
Many interview questions test a candidate’s ability to identify whether a problem can be solved using a greedy strategy instead of more complex approaches like dynamic programming.
In this guide, we have compiled some of the most frequently asked Greedy problems reported in Microsoft interviews. Each question includes its difficulty level, interview frequency, and a direct link to the LeetCode problem so that you can start practicing immediately.
Below is a curated list of Greedy LeetCode questions asked in Microsoft interviews.
| Sl.No | Question | Difficulty | Frequency | LeetCode Link |
|---|
| 1 | Container With Most Water | MEDIUM | 75.10% | Solve |
| 2 | Jump Game | MEDIUM | 69.80% | Solve |
| 3 | Jump Game II | MEDIUM | 59.10% | Solve |
| 4 | Reorganize String | MEDIUM | 58.00% | Solve |
| 5 | Wildcard Matching | HARD | 41.60% | Solve |
| 6 | Candy | HARD | 38.90% | Solve |
| 7 | Best Time to Buy and Sell Stock II | MEDIUM | 38.90% | Solve |
| 8 | Meeting Rooms II | MEDIUM | 37.90% | Solve |
| 9 | Wiggle Sort | MEDIUM | 27.50% | Solve |
| 10 | Gas Station | MEDIUM | 2.14% | Solve |
| 11 | Largest Number | MEDIUM | 1.62% | Solve |
| 12 | Remove Duplicate Letters | HARD | 0.84% | Solve |
| 13 | Remove K Digits | MEDIUM | 0.80% | Solve |
| 14 | Smallest Range Covering Elements from K Lists | HARD | 0.78% | Solve |
| 15 | Valid Triangle Number | MEDIUM | 0.53% | Solve |
| 16 | Pancake Sorting | MEDIUM | 0.37% | Solve |
| 17 | Partition Array Into Three Parts With Equal Sum | EASY | 0.26% | Solve |
| 18 | Minimum Number of Arrows to Burst Balloons | MEDIUM | 0.24% | Solve |
| 19 | Integer Replacement | MEDIUM | 0.23% | Solve |
| 20 | Non-overlapping Intervals | MEDIUM | 0.22% | Solve |
| 21 | Rearrange String k Distance Apart | HARD | 0.19% | Solve |
| 22 | Minimum Number of Refueling Stops | HARD | 0.18% | Solve |
| 23 | Maximum Swap | MEDIUM | 0.17% | Solve |
| 24 | Max Chunks To Make Sorted | MEDIUM | 0.14% | Solve |
| 25 | Task Scheduler | MEDIUM | 0.12% | Solve |
| 26 | Cinema Seat Allocation | MEDIUM | 0.11% | Solve |
| 27 | Course Schedule III | HARD | 0.06% | Solve |
| 28 | Previous Permutation With One Swap | MEDIUM | 0.00% | Solve |
You can also track your progress and practice these questions using our tool:
Microsoft LeetCode Interview Questions Tracker
How to Prepare for Greedy Questions in Microsoft Interviews
To perform well in Microsoft coding interviews, it’s important to understand when to apply greedy algorithms rather than memorizing solutions.
Some useful preparation strategies include:
- Identifying problems where local optimal choice leads to global optimum
- Practicing interval-based problems (like merging, scheduling)
- Learning sorting + greedy combinations
- Understanding proof of correctness (why greedy works)
- Comparing greedy vs dynamic programming approaches
Regular practice will improve your intuition to recognize greedy patterns quickly, which is key in coding interviews.
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